Senior Data Scientist
Senior Data Scientist
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Job Description
We are looking for a highly experienced Senior Data Scientist with strong expertise in data mining machine learning and deep learning techniques. The ideal candidate will have a solid academic background and at least 5 years of industry experience applying advanced analytics to solve realworld problems. You should be fluent in Python and skilled with libraries like TensorFlow and Scikitlearn capable of designing and deploying complex models that generate business value.
- Key Responsibilities:
- Design develop and implement machine learning and deep learning models for classification regression clustering and other tasks.
- Perform data mining to uncover hidden patterns anomalies and correlations in largescale datasets.
- Build endtoend pipelines for data preprocessing model training validation and deployment.
- Collaborate with data engineers product managers and business analysts to translate problems into actionable data science solutions.
- Evaluate model performance using appropriate metrics and finetune for optimal results.
- Communicate complex analytical results and insights to both technical and nontechnical stakeholders.
- Stay updated with the latest research and advancements in AI deep learning and data science.
Qualifications :
Required Qualifications:
- Masters degree in Computer Science Data Science Statistics or a related field.
- 5 years of professional experience in data science or machine learning.
- Strong knowledge of data mining and statistical analysis techniques.
- Expertise in Python with deep handson experience in TensorFlow Scikitlearn and other ML/DL libraries (e.g. Keras PyTorch).
- Solid foundation in deep learning techniques including CNNs RNNs GANs and attention mechanisms.
- Proficiency with data visualization tools (Matplotlib Seaborn Plotly) and data manipulation libraries (Pandas NumPy).
- Strong communication and problemsolving skills.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
